- Autor
- Bueno Castellanos Edgar Mauricio (Colombian Observatory of Science and Technology)
- Tytuł
- Nonresponse Bias in the Survey of Youth Understanding of Science and Technology in Bogota
- Źródło
- Statistics in Transition, 2012, vol. 13, nr 1, s. 79-94, tab., bibliogr. 6 poz.
- Słowa kluczowe
- Metodologia badań statystycznych, Symulacja Monte Carlo, Dobór próby badawczej, Kalibracja
Methodology of statistical surveys, Monte Carlo simulation, Selection of test methods, Calibration - Uwagi
- summ.
- Kraj/Region
- Bogota
Bogota - Abstrakt
- The Colombian Observatory of Science and Technology -OCyT- developed, in 2009, a survey about understanding of Science and Technology in students of high school in Bogota, Colombia. The sampling design was stratified according to the nature of school (public or private). Two sources of unit nonresponse were detected. The first one corresponds to schools that did not allowed to collect information. The second source corresponds to students who did not assist during the days when survey was applied. Estimates were obtained through two different approaches. Results obtained in both cases do not show visible differences when estimating ratios; even though, some great differences were observed when estimating totals. Results obtained using the second approach are believed to be more reliable because of the methodology used to handle item nonresponse. (original abstract)
- Dostępne w
- Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
Biblioteka SGH im. Profesora Andrzeja Grodka
Biblioteka Główna Uniwersytetu Ekonomicznego w Katowicach
Biblioteka Główna Uniwersytetu Ekonomicznego w Poznaniu
Biblioteka Główna Uniwersytetu Ekonomicznego we Wrocławiu - Pełny tekst
- Pokaż
- Bibliografia
-
- DAZA, S. ED, (2011). Entre datos y relatos: percepciones de jovenes escolarizados sobre la Ciencia y la Tecnologia. Observatorio Colombiano de Ciencia y Tecnologia, Bogota.
- HANSEN, M.H., and HURWITZ W.N. (1943). On the theory of sampling from finite populations. Annals of Mathematical Statistics 41, 517-529.
- HORVITZ, D.G., and THOMPSON, D.J. (1952). A generalization of sampling without replacement from a finite universe. Journal of the American Statistical Association 47, 663-685.
- R Development Core Team, (2011). A Language and environment for Statistical Computing, http_//www. r-project.org.
- SÄRNDAL, C.E. and SWENSSON, B. and WRETMAN, J., (1992). Model Assisted Survey Sampling. Springer.
- SÄRNDAL, C.E. and LUNDSTRÖM, S., (2005). Estimation in Surveys with Nonresponse. Wiley.
- Cytowane przez
- ISSN
- 1234-7655
- Język
- eng
